Department of Information Technology, Indian Institute of Information Technology, Allahabad, India
 Research Article   
								
																Acoustic Signal Classification for Deforestation Monitoring: Tree Cutting
Problem 
																Author(s): Sharma G*             
								
																
						 This paper deals with tree cutting real-world problem, causing significant damages to forests. The sensing and 
  classification of acoustic signal emitted during tree cutting, is used to extract information of tree cutting events 
  using sensors. Detecting the acoustic signal due to saw scratching power level in presence of ambiance noise and 
  the other choral noise sources is a major issue in a forest environment. An acoustic sensor experimental setup is 
  established for capturing the acoustic signal generated due to cross cut sawing with varying distances. Based on 
  the experimental analysis, saw scratching acoustic signal is found with appropriate for tree cutting detection. The 
  acoustic signal pre-processing is performed with the help of a SNR algorithm. The extraction of features in frequency 
  space is done by using modified MFCC and spectral features extracti.. Read More»
						  
															  
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